使用深度学习的足迹识别

Tanapon Keatsamarn, C. Pintavirooj
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引用次数: 7

摘要

人类足迹是个体的生物识别系统。每个人都有特定的足迹。它可以在安全系统中代替基于密码的身份验证,例如用于金融事务的用户身份验证。基于密码的系统无法验证输入密码的人是否有效。因此,生物识别系统比基于密码的系统更安全。因此,在创建基于足迹的识别系统时使用足迹图像是很有趣的。本文将卷积神经网络训练用于深度学习分类。卷积神经网络对于深度学习和图像识别至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Footprint Identification using Deep Learning
Human footprint is the biometric system of the individual person. Everyone has specific footprints. It can be used instead of password-based authentication in the security system such as a user authentication for the financial transaction. The password-based system cannot verify that the person who entered the password is valid or not. Therefore the biometric system is more secure than the password-based system. For that reason, it’s interesting to use footprint image in the creating of the footprint-based identification system. In this paper, the convolutional neural network training is used for deep learning classification. Convolutional neural networks are essential for deep learning and suited for image recognition.
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